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1.
Int J Occup Saf Ergon ; 29(4): 1335-1344, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-36217607

RESUMO

Objectives. The improvised and massive adoption of remote work in the context of COVID-19 has forced us to adapt homes as workspaces, which could promote development of musculoskeletal disorders (MSDs). This review explores the evidence for ergonomic factors associated with MSDs in teleworkers. Methods. A literature search was conducted in MEDLINE, Embase, Scopus, SciELO and EBSCO. We included observational studies published between March 2020 and October 2021 that included teleworking personnel due to the restrictions of the pandemic. Results. A total of 212 studies were identified, 14 were chosen for complete review. Associated factors were change of work modality (on-site work to telework), use of home environments as workspaces (areas not adapted for work and with low lighting), working furniture (non-ergonomic chairs and desks), use of electronic devices (tablets, cell phones and laptops), organizational factors (working hours, active breaks, sitting time) and individual factors (physical activity practice). Conclusion. Various ergonomic home factors and the characteristics of teleworking - mainly furniture, the environment of work and physical activity - are associated with MSDs. This evidence suggests that the norms and regulation of telework can consider the adaptation of workspace and conditions at home to prevent health problems in the medium and long term.


Assuntos
COVID-19 , Doenças Musculoesqueléticas , Doenças Profissionais , Humanos , Teletrabalho , Pandemias , Doenças Profissionais/epidemiologia , Doenças Profissionais/prevenção & controle , COVID-19/epidemiologia , Ergonomia/métodos , Doenças Musculoesqueléticas/epidemiologia , Doenças Musculoesqueléticas/prevenção & controle
2.
Rev Peru Med Exp Salud Publica ; 28(1): 47-53, 2011 Mar.
Artigo em Espanhol | MEDLINE | ID: mdl-21537769

RESUMO

OBJECTIVES: To evaluate the differences between the observed hemoglobin levels and those estimated based on hematocrit in the context of the 2nd National Study of Human Growth and Development of the Venezuelan Population (SENACREDH). MATERIALS AND METHODS: 6,004 individuals were chosen by a probabilistic multistage cluster sampling representing 7,286,781 inhabitants from North Central Coastal area (Vargas, Carabobo, Capital District, Aragua and Miranda). Means of observed and estimated hemoglobin (hematocrit/3) were compared, using t test for related samples and linear regression. RESULTS: Mean difference between the values of observed and estimated hemoglobin was -0.3446 ±0.0002 (p<0.001); significantly overestimating the hemoglobin values. Regression models of hemoglobin on hematocrit showed an r2=0,87. In order to correct the estimation, we propose a new formula for calculating hemoglobin based on haematocrit values: estimated hemoglobin=(Haematocrit/3.135)+ 0.257. CONCLUSIONS: There is an overestimation of hemoglobin levels from hematocrit levels and therefore an underestimation of the prevalence of anemia; however, a high positive correlation between them was found, allowing modeling for achieving a better estimation of the hemoglobin from the hematocrit value.


Assuntos
Anemia/sangue , Anemia/diagnóstico , Hematócrito , Hemoglobinas/análise , Adolescente , Adulto , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Masculino , Pessoa de Meia-Idade , Venezuela , Adulto Jovem
3.
Rev. peru. med. exp. salud publica ; 28(1): 47-53, marzo 2011. ilus, tab
Artigo em Espanhol | LILACS, LIPECS | ID: lil-584153

RESUMO

Objetivos. Evaluar las diferencias entre el valor de hemoglobina observada y el valor estimado a partir del hematocrito en el marco del Segundo Estudio Nacional de Crecimiento y Desarrollo Humano de la Población Venezolana (SENACREDH) en el eje centro norte costero del país. Materiales y métodos. Por medio de un muestreo probabilístico multietápico por conglomerados se seleccionó un total de 6004 sujetos que representan 7 286 781 habitantes del eje Centro Norte Costero (Vargas, Carabobo, Distrito Capital, Aragua y Miranda). Se compararon medias de la hemoglobina observada y hemoglobina estimada (hematocrito/3), usando la prueba t para muestras relacionadas. Se realizaron regresiones lineales entre hemoglobina observada y hematocrito. Resultados. Se observó que el promedio de las diferencias entre la asignadas a la hemoglobina observada y la estimada por el hematocrito fue de -0,3446 ± 0,0002 (p<0,001); sobreestimando significativamente los valores de hemoglobina. Modelos de regresión del hematocrito para la hemoglobina arrojan un valor de r2=0,87. Al corregir la estimación, se propone una nueva forma de calcularla, con la siguiente fórmula: hemoglobina estimada = (hematocrito/3,135) + 0,257. Conclusiones. Existe una sobreestimación de hemoglobina y, por tanto, subestimación de la prevalencia de anemia a partir del hematocrito; sin embargo, se encuentra una alta correlación entre ambos componentes que permite modelar una mejor estimación de la hemoglobina a partir del hematocrito.


Objectives. To evaluate the differences between the observed hemoglobin levels and those estimated based on hematocrit in the context of the 2nd National Study of Human Growth and Development of the Venezuelan Population (SENACREDH). Materials and methods. 6,004 individuals were chosen by a probabilistic multistage cluster sampling representing 7,286,781 inhabitants from North Central Coastal area (Vargas, Carabobo, Capital District, Aragua and Miranda). Means of observed and estimated hemoglobin (hematocrit/3) were compared, using t test for related samples and linear regression. Results. Mean difference between the values of observed and estimated hemoglobin was -0.3446 ±0.0002 (p<0.001); significantly overestimating the hemoglobin values. Regression models of hemoglobin on hematocrit showed an r2=0,87. In order to correct the estimation, we propose a new formula for calculating hemoglobin based on haematocrit values: estimated hemoglobin=(Haematocrit/3.135)+ 0.257. Conclusions: There is an overestimation of hemoglobin levels from hematocrit levels and therefore an underestimation of the prevalence of anemia; however, a high positive correlation between them was found, allowing modeling for achieving a better estimation of the hemoglobin from the hematocrit value.


Assuntos
Adolescente , Adulto , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Masculino , Pessoa de Meia-Idade , Adulto Jovem , Anemia/sangue , Anemia/diagnóstico , Hematócrito , Hemoglobinas/análise , Venezuela
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